No abstract

This file was dowloaded from the institutional repository Brage NIH -brage.bibsys.no/nih Bethapudi, S., Budgett, R., Engebretsen, L., O'Connor, P. (2013

This file was dowloaded from the institutional repository Brage NIH -brage.bibsys.no/nih Elias, D. A., Carne, A., Bethapudi, S., Engebretsen, L., Budgett, R., O'Connor, P. (2013 AbstractPlantar fascia and distal Achilles injuries are common in elite athletes. Acute athletic injuries of the plantar fascia include acute plantar fasciopathy and partial or complete tears. Underlying most acute injuries is a background of underlying chronic plantar fasciopathy. Injuries may affect the central or less commonly lateral portions of the fascia and acute tears are generally proximal. Athletic Achilles injuries may occur at the mid tendon or the distal insertion, and there may be an underlying chronic tendinopathy. Acute or chronic paratendinopathy may occur as a separate entity or combined with Achilles injury. In this article the spectrum of athletic injuries of the plantar fascia and Achilles is described, illustrated by imaging findings from the London 2012 Olympic games.

Engebretsen, L. (2013). The London 2012 Summer Olympic Games: An analysis of usage of the Olympic Village 'Polyclinic' by competing athletes. British Journal of Sports Medicine, 47,[415][416][417][418][419] Dette er siste tekst-versjon av artikkelen, og den kan inneholde små forskjeller fra forlagets pdf-versjon. Forlagets pdf-versjon finner du på bjsm.bmj.com: http://dx.doi. org/10.1136/bjsports-2013-092325 This is the final text version of the article, and it may contain minor differences from the journal's pdf version. Results: There were a total of 3,220 encounters within the Polyclinic. This figure combines medical consultations, radiology / pathology investigations and prescriptions dispensed. Of these 3,220 encounters there were 2,105 medical consultations; musculoskeletal comprised the greatest number (52%), followed by dental (30%) and ophthalmic (9%). The most frequently used imaging modality was magnetic resonance imaging and diagnostic computer tomography was used the least. After correction for multiple entries, Africa provided the largest proportion of athletes attending the Polyclinic (44%) and Europe the least (9%). Peak usage of all facilities was seen around days 9-10 of competition reflecting the busiest time of competition and largest number of athletes in the Village.Conclusions: The Polyclinic managed a wide variety of both sports-related and non sports-related injuries and illnesses. The breadth of specialists available for consultation was appropriate as was the ease of access to them. The radiology department was able to satisfy demand, as were the pharmacy and pathology services. We would recommend a similar structure of facilities and available expertise in one clinic when planning future mass participation sporting events.

Computed tomography (CT) is an effective medical imaging modality, widely used in the field of clinical medicine for the diagnosis of various pathologies. Advances in Multidetector CT imaging technology have enabled additional functionalities, including generation of thin slice multiplanar cross-sectional body imaging and 3D reconstructions. However, this involves patients being exposed to a considerable dose of ionising radiation. Excessive ionising radiation can lead to deterministic and harmful effects on the body. This paper proposes a Deep Learning model that learns to reconstruct CT projections from a few or even a single-view X-ray. This is based on a novel architecture that builds from neural radiance fields, which learns a continuous representation of CT scans by disentangling the shape and volumetric depth of surface and internal anatomical structures from 2D images. Our model is trained on chest and knee datasets, and we demonstrate qualitative and quantitative high-fidelity renderings and compare our approach to other recent radiance field-based methods. Our code and link to our datasets are available at https: //github.com/abrilcf/mednerf Clinical relevance-Our model is able to infer the anatomical 3D structure from a few or a single-view X-ray, showing future potential for reduced ionising radiation exposure during the imaging process.